Research on Improved Genetic Algorithm for Virus Intrusion Detection Model
- Peng Zhang
- Corresponding Author
- Peng Zhang
Available Online June 2017.
- https://doi.org/10.2991/ammee-17.2017.139How to use a DOI?
- improved genetic algorithm; intrusion detection model; traditional security model; computer virus.
- The purpose of this study is to solve the computer security problems. Based on the traditional security model, the hidden dangers of computer security and the advantages and disadvantages of various intrusion detection techniques are analyzed. A computer intrusion detection system based on an improved genetic algorithm is designed. The results show that the optimized genetic algorithm can improve the efficiency of intrusion detection and reduce the false alarm rate. Therefore, we conclude that the application of genetic algorithm in intrusion detection has important theoretical and practical significance.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Peng Zhang PY - 2017/06 DA - 2017/06 TI - Research on Improved Genetic Algorithm for Virus Intrusion Detection Model BT - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/ammee-17.2017.139 DO - https://doi.org/10.2991/ammee-17.2017.139 ID - Zhang2017/06 ER -